Statistical analysis and simulations that account for simultaneous effects of positive, negative, and no crossover interference in multilocus recombination data
Shaul Sapielkin, Zeev Frenkel, Eyal Privman, Abraham B Korol · 2025
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Description
Shaul Sapielkin and co-authors present a math and computing paper from two thousand twenty-five on how crossovers spread along chromosomes. During cell division, nearby crossovers can push each other apart, cluster together, or act on their own. Older models often miss the clustering case, so fits to real data can be poor.
The team extends an older model so all three patterns can occur at once, and they supply software to fit it. They try the method on real data from a conifer tree, sugar beet, and wheatgrass. The tests show the three kinds of crossover can be told apart on the same chromosome.
Catalog record
| CREATOR | Shaul Sapielkin, Zeev Frenkel, Eyal Privman, Abraham B Korol |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 47 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |